Lecture

Neural Networks: Perceptron

In course

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Description

This lecture introduces the main concepts behind neural networks, from their goal to mimic the brain's computation to the structure of biological neurons. It covers the Leaky-Integrator Neuron model, the Perceptron, activation functions, and the Perceptron training algorithm. The lecture also discusses the effect of noise on generalization and the implementation of multi-class classifiers.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_wct0jk7g

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

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